Website Screenshot
Capture a clean, full-page screenshot of any web page. Pick the device, width, and format. Free, no sign-up.
Rendered via Microlink. Works on most public pages; some sites block automated rendering.
Why a screenshot, not just a fetch
How LLMs process a website today
When an LLM "reads" a page through a fetch tool, it is almost always working with text, not pixels. The tool retrieves the page’s HTML, strips it down, and hands the model a structured-but-flat representation: the DOM hierarchy, headings, links, image alt text, metadata (title, OpenGraph tags, descriptions), and the body copy in roughly reading order. That is what lets a model map a site’s information architecture, content sequence, nav labels, and CTA inventory. All of it lives in the markup.
So the model reasons about a site the way you would reason about a screenplay you have read but never seen performed. You know the structure, the words, the order of scenes, who is on stage. You do not know the lighting, the pacing, or how any of it actually lands on screen.
Where web fetch falls short
The limitations cluster into a few buckets, and they matter more than people expect:
Why live screenshots change the game
A screenshot hands the model the actual rendered artifact, the thing the human sees. That unlocks the entire visual and emotional layer that fetch structurally cannot reach.
Typography hierarchy becomes assessable. Color and contrast become gradeable, including accessibility. Spacing, rhythm, and alignment become visible. The visual weight of competing CTAs, not just their count in the DOM but which one actually wins the eye, becomes clear.
And brand positioning is overwhelmingly a visual and emotional judgment. Whether a site reads as premium or budget, calm or frantic, credible or generic, modern or dated: that is communicated almost entirely through design choices the markup does not encode. Identical HTML can produce a luxury brand or a scam page. Only the pixels tell you which.
Mobile screenshots add the responsive dimension fetch is blind to, and a full-page capture lets the model judge composition and flow across the whole scroll, not just section by section.